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Three-Way Clustering Problems in Regional Science

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Analysis of Large and Complex Data

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Abstract

Three-way clustering problems have been considered since many years. They are popular specially in psychology and chemistry, but some of the propositions and methods are of more general nature. In regional science three-way data matrices consist of objects (regions), variables and time units (years). Asking which variables, in which regions and when, follow homogeneous pattern is meaningful. Three general approaches are proposed in the paper and different modes of standardization are discussed. The example on Eurostat data is also presented.

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Acknowledgements

The paper was prepared within the project financed by the Polish National Centre for Science, decision DEC-2013/09/B/HS4/0509.

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Authors and Affiliations

  1. Wroclaw University of Economics, Wroclaw, Poland

    Małgorzata Markowska & Danuta Strahl

  2. Cracow University of Economics, Cracow, Poland

    Andrzej Sokołowski

Authors
  1. Małgorzata Markowska
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  2. Andrzej Sokołowski
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  3. Danuta Strahl
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Corresponding author

Correspondence to Małgorzata Markowska .

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Editors and Affiliations

  1. Jacobs University Bremen , Bremen, Germany

    Adalbert F.X. Wilhelm

  2. Universität Ulm, Institute of Medical Systems Biology Universität Ulm, Ulm, Baden-Württemberg, Germany

    Hans A. Kestler

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Markowska, M., Sokołowski, A., Strahl, D. (2016). Three-Way Clustering Problems in Regional Science. In: Wilhelm, A., Kestler, H. (eds) Analysis of Large and Complex Data. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Cham. https://doi.org/10.1007/978-3-319-25226-1_46

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